Overview

Dataset statistics

Number of variables17
Number of observations198
Missing cells651
Missing cells (%)19.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.4 KiB
Average record size in memory136.6 B

Variable types

Numeric5
Text7
Categorical1
DateTime3
Unsupported1

Alerts

airdate has constant value ""Constant
id_embedded is highly overall correlated with seasonHigh correlation
season is highly overall correlated with id_embeddedHigh correlation
number is highly overall correlated with typeHigh correlation
type is highly overall correlated with numberHigh correlation
type is highly imbalanced (94.2%)Imbalance
number has 2 (1.0%) missing valuesMissing
airtime has 169 (85.4%) missing valuesMissing
runtime has 9 (4.5%) missing valuesMissing
rating_average has 198 (100.0%) missing valuesMissing
medium has 94 (47.5%) missing valuesMissing
original has 94 (47.5%) missing valuesMissing
summary has 85 (42.9%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-05 19:10:54.544854
Analysis finished2023-08-05 19:10:58.129076
Duration3.58 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2440152.5
Minimum2320579
Maximum2582368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-08-05T14:10:58.211270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2320579
5-th percentile2391975.2
Q12433906.2
median2445369.5
Q32448947.8
95-th percentile2503964.2
Maximum2582368
Range261789
Interquartile range (IQR)15041.5

Descriptive statistics

Standard deviation35923.596
Coefficient of variation (CV)0.014721865
Kurtosis5.8886687
Mean2440152.5
Median Absolute Deviation (MAD)8154
Skewness-0.13774034
Sum4.8315019 × 108
Variance1.2905047 × 109
MonotonicityNot monotonic
2023-08-05T14:10:58.370640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2422256 1
 
0.5%
2416834 1
 
0.5%
2434313 1
 
0.5%
2485798 1
 
0.5%
2445585 1
 
0.5%
2445586 1
 
0.5%
2445587 1
 
0.5%
2445589 1
 
0.5%
2445590 1
 
0.5%
2445592 1
 
0.5%
Other values (188) 188
94.9%
ValueCountFrequency (%)
2320579 1
0.5%
2320580 1
0.5%
2320581 1
0.5%
2320582 1
0.5%
2320583 1
0.5%
2320584 1
0.5%
2330728 1
0.5%
2374216 1
0.5%
2380846 1
0.5%
2383896 1
0.5%
ValueCountFrequency (%)
2582368 1
0.5%
2577825 1
0.5%
2574163 1
0.5%
2540849 1
0.5%
2521739 1
0.5%
2513099 1
0.5%
2511946 1
0.5%
2511945 1
0.5%
2508958 1
0.5%
2506986 1
0.5%

id_embedded
Real number (ℝ)

HIGH CORRELATION 

Distinct103
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55211.939
Minimum4175
Maximum69389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-08-05T14:10:58.515299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4175
5-th percentile19665
Q150617
median59471
Q365411.75
95-th percentile66223.65
Maximum69389
Range65214
Interquartile range (IQR)14794.75

Descriptive statistics

Standard deviation13956.939
Coefficient of variation (CV)0.25278843
Kurtosis2.6724826
Mean55211.939
Median Absolute Deviation (MAD)6287
Skewness-1.7614462
Sum10931964
Variance1.9479616 × 108
MonotonicityNot monotonic
2023-08-05T14:10:58.667593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65758 16
 
8.1%
49722 10
 
5.1%
65657 8
 
4.0%
37928 8
 
4.0%
57463 8
 
4.0%
19665 7
 
3.5%
62484 6
 
3.0%
63317 6
 
3.0%
50617 6
 
3.0%
59307 6
 
3.0%
Other values (93) 117
59.1%
ValueCountFrequency (%)
4175 1
 
0.5%
8035 1
 
0.5%
9538 2
 
1.0%
12060 1
 
0.5%
19111 1
 
0.5%
19665 7
3.5%
24963 1
 
0.5%
26268 2
 
1.0%
29511 1
 
0.5%
37074 1
 
0.5%
ValueCountFrequency (%)
69389 1
0.5%
68575 1
0.5%
68144 1
0.5%
67998 1
0.5%
67684 2
1.0%
67439 1
0.5%
67152 1
0.5%
66849 1
0.5%
66233 1
0.5%
66222 1
0.5%

url
Text

UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-08-05T14:10:58.922455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length128
Median length95
Mean length79.641414
Min length54

Characters and Unicode

Total characters15769
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique198 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2422256/trudnye-podrostki-realnost-2x16-seria-16
2nd rowhttps://www.tvmaze.com/episodes/2521739/engineering-reborn-1x03-episode-3
3rd rowhttps://www.tvmaze.com/episodes/2411105/wanmei-shijie-1x88-episode-88
4th rowhttps://www.tvmaze.com/episodes/2463633/supreme-god-emperor-1x229-episode-229
5th rowhttps://www.tvmaze.com/episodes/2330728/against-the-sky-supreme-1x152-episode-152
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2422256/trudnye-podrostki-realnost-2x16-seria-16 1
 
0.5%
https://www.tvmaze.com/episodes/2443693/slepaa-13x127-lovis-rybka 1
 
0.5%
https://www.tvmaze.com/episodes/2438236/24-stjerners-julekalender-1x09-julekalender 1
 
0.5%
https://www.tvmaze.com/episodes/2411105/wanmei-shijie-1x88-episode-88 1
 
0.5%
https://www.tvmaze.com/episodes/2463633/supreme-god-emperor-1x229-episode-229 1
 
0.5%
https://www.tvmaze.com/episodes/2330728/against-the-sky-supreme-1x152-episode-152 1
 
0.5%
https://www.tvmaze.com/episodes/2513099/jiu-tian-xuan-di-jue-3x12-episode-104 1
 
0.5%
https://www.tvmaze.com/episodes/2427754/romance-and-bullets-1x07-episode-7 1
 
0.5%
https://www.tvmaze.com/episodes/2432129/oh-my-assistant-1x04-episode-4 1
 
0.5%
https://www.tvmaze.com/episodes/2451979/love-alarm-clap-clap-clap-1x01-episode-1 1
 
0.5%
Other values (188) 188
94.9%
2023-08-05T14:10:59.371500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1331
 
8.4%
- 1202
 
7.6%
/ 990
 
6.3%
s 978
 
6.2%
t 960
 
6.1%
o 846
 
5.4%
a 676
 
4.3%
w 675
 
4.3%
i 621
 
3.9%
m 590
 
3.7%
Other values (30) 6900
43.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10801
68.5%
Decimal Number 2182
 
13.8%
Other Punctuation 1584
 
10.0%
Dash Punctuation 1202
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1331
12.3%
s 978
 
9.1%
t 960
 
8.9%
o 846
 
7.8%
a 676
 
6.3%
w 675
 
6.2%
i 621
 
5.7%
m 590
 
5.5%
p 586
 
5.4%
h 449
 
4.2%
Other values (16) 3089
28.6%
Decimal Number
ValueCountFrequency (%)
2 413
18.9%
4 376
17.2%
1 287
13.2%
0 233
10.7%
3 204
9.3%
5 195
8.9%
9 147
 
6.7%
8 127
 
5.8%
6 112
 
5.1%
7 88
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/ 990
62.5%
. 396
 
25.0%
: 198
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 1202
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10801
68.5%
Common 4968
31.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1331
12.3%
s 978
 
9.1%
t 960
 
8.9%
o 846
 
7.8%
a 676
 
6.3%
w 675
 
6.2%
i 621
 
5.7%
m 590
 
5.5%
p 586
 
5.4%
h 449
 
4.2%
Other values (16) 3089
28.6%
Common
ValueCountFrequency (%)
- 1202
24.2%
/ 990
19.9%
2 413
 
8.3%
. 396
 
8.0%
4 376
 
7.6%
1 287
 
5.8%
0 233
 
4.7%
3 204
 
4.1%
: 198
 
4.0%
5 195
 
3.9%
Other values (4) 474
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15769
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1331
 
8.4%
- 1202
 
7.6%
/ 990
 
6.3%
s 978
 
6.2%
t 960
 
6.1%
o 846
 
5.4%
a 676
 
4.3%
w 675
 
4.3%
i 621
 
3.9%
m 590
 
3.7%
Other values (30) 6900
43.8%

name
Text

Distinct171
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-08-05T14:10:59.743473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length33
Mean length16.353535
Min length3

Characters and Unicode

Total characters3238
Distinct characters117
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)78.3%

Sample

1st rowСерия 16
2nd rowEpisode 3
3rd rowEpisode 88
4th rowEpisode 229
5th rowEpisode 152
ValueCountFrequency (%)
episode 59
 
9.9%
the 35
 
5.9%
20
 
3.4%
of 11
 
1.8%
christmas 6
 
1.0%
a 6
 
1.0%
16 5
 
0.8%
7 5
 
0.8%
5 5
 
0.8%
10 4
 
0.7%
Other values (369) 441
73.9%
2023-08-05T14:11:00.290453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
399
 
12.3%
e 299
 
9.2%
o 203
 
6.3%
i 177
 
5.5%
a 175
 
5.4%
s 165
 
5.1%
n 142
 
4.4%
r 135
 
4.2%
t 124
 
3.8%
d 115
 
3.6%
Other values (107) 1304
40.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2164
66.8%
Uppercase Letter 468
 
14.5%
Space Separator 399
 
12.3%
Decimal Number 136
 
4.2%
Other Punctuation 51
 
1.6%
Other Letter 6
 
0.2%
Dash Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 299
13.8%
o 203
 
9.4%
i 177
 
8.2%
a 175
 
8.1%
s 165
 
7.6%
n 142
 
6.6%
r 135
 
6.2%
t 124
 
5.7%
d 115
 
5.3%
l 99
 
4.6%
Other values (36) 530
24.5%
Uppercase Letter
ValueCountFrequency (%)
E 69
14.7%
T 42
 
9.0%
C 39
 
8.3%
S 29
 
6.2%
B 26
 
5.6%
M 25
 
5.3%
P 22
 
4.7%
D 21
 
4.5%
F 20
 
4.3%
W 19
 
4.1%
Other values (29) 156
33.3%
Decimal Number
ValueCountFrequency (%)
1 34
25.0%
2 26
19.1%
4 10
 
7.4%
7 10
 
7.4%
6 10
 
7.4%
8 10
 
7.4%
5 10
 
7.4%
9 9
 
6.6%
3 9
 
6.6%
0 8
 
5.9%
Other Punctuation
ValueCountFrequency (%)
' 13
25.5%
/ 10
19.6%
& 8
15.7%
. 6
11.8%
, 5
 
9.8%
? 3
 
5.9%
! 3
 
5.9%
: 2
 
3.9%
1
 
2.0%
Other Letter
ValueCountFrequency (%)
ل 2
33.3%
ا 1
16.7%
ح 1
16.7%
ق 1
16.7%
ة 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 3
75.0%
] 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 3
75.0%
[ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
399
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2577
79.6%
Common 600
 
18.5%
Cyrillic 55
 
1.7%
Arabic 6
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 299
 
11.6%
o 203
 
7.9%
i 177
 
6.9%
a 175
 
6.8%
s 165
 
6.4%
n 142
 
5.5%
r 135
 
5.2%
t 124
 
4.8%
d 115
 
4.5%
l 99
 
3.8%
Other values (45) 943
36.6%
Cyrillic
ValueCountFrequency (%)
А 6
 
10.9%
и 4
 
7.3%
р 3
 
5.5%
Р 3
 
5.5%
Е 3
 
5.5%
о 3
 
5.5%
к 2
 
3.6%
т 2
 
3.6%
б 2
 
3.6%
К 2
 
3.6%
Other values (20) 25
45.5%
Common
ValueCountFrequency (%)
399
66.5%
1 34
 
5.7%
2 26
 
4.3%
' 13
 
2.2%
/ 10
 
1.7%
4 10
 
1.7%
7 10
 
1.7%
6 10
 
1.7%
8 10
 
1.7%
5 10
 
1.7%
Other values (17) 68
 
11.3%
Arabic
ValueCountFrequency (%)
ل 2
33.3%
ا 1
16.7%
ح 1
16.7%
ق 1
16.7%
ة 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3169
97.9%
Cyrillic 55
 
1.7%
Arabic 6
 
0.2%
None 5
 
0.2%
Punctuation 2
 
0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
399
 
12.6%
e 299
 
9.4%
o 203
 
6.4%
i 177
 
5.6%
a 175
 
5.5%
s 165
 
5.2%
n 142
 
4.5%
r 135
 
4.3%
t 124
 
3.9%
d 115
 
3.6%
Other values (64) 1235
39.0%
Cyrillic
ValueCountFrequency (%)
А 6
 
10.9%
и 4
 
7.3%
р 3
 
5.5%
Р 3
 
5.5%
Е 3
 
5.5%
о 3
 
5.5%
к 2
 
3.6%
т 2
 
3.6%
б 2
 
3.6%
К 2
 
3.6%
Other values (20) 25
45.5%
Arabic
ValueCountFrequency (%)
ل 2
33.3%
ا 1
16.7%
ح 1
16.7%
ق 1
16.7%
ة 1
16.7%
None
ValueCountFrequency (%)
ü 1
20.0%
ç 1
20.0%
ë 1
20.0%
é 1
20.0%
æ 1
20.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%

season
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.39899
Minimum1
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-08-05T14:11:00.449013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q33.75
95-th percentile23.75
Maximum2022
Range2021
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation421.71726
Coefficient of variation (CV)4.4673917
Kurtosis17.514292
Mean94.39899
Median Absolute Deviation (MAD)0.5
Skewness4.3972658
Sum18691
Variance177845.45
MonotonicityNot monotonic
2023-08-05T14:11:00.599765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 99
50.0%
2 36
 
18.2%
4 20
 
10.1%
3 13
 
6.6%
5 11
 
5.6%
2022 9
 
4.5%
13 2
 
1.0%
7 2
 
1.0%
28 1
 
0.5%
14 1
 
0.5%
Other values (4) 4
 
2.0%
ValueCountFrequency (%)
1 99
50.0%
2 36
 
18.2%
3 13
 
6.6%
4 20
 
10.1%
5 11
 
5.6%
7 2
 
1.0%
9 1
 
0.5%
12 1
 
0.5%
13 2
 
1.0%
14 1
 
0.5%
ValueCountFrequency (%)
2022 9
4.5%
28 1
 
0.5%
23 1
 
0.5%
22 1
 
0.5%
14 1
 
0.5%
13 2
 
1.0%
12 1
 
0.5%
9 1
 
0.5%
7 2
 
1.0%
5 11
5.6%

number
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct43
Distinct (%)21.9%
Missing2
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean17.030612
Minimum1
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-08-05T14:11:00.773521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q312.25
95-th percentile79.5
Maximum246
Range245
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation33.423607
Coefficient of variation (CV)1.9625605
Kurtosis21.685408
Mean17.030612
Median Absolute Deviation (MAD)4
Skewness4.3158818
Sum3338
Variance1117.1375
MonotonicityNot monotonic
2023-08-05T14:11:00.923462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
5 17
 
8.6%
6 17
 
8.6%
8 17
 
8.6%
4 15
 
7.6%
2 14
 
7.1%
3 14
 
7.1%
1 14
 
7.1%
7 12
 
6.1%
9 9
 
4.5%
10 7
 
3.5%
Other values (33) 60
30.3%
ValueCountFrequency (%)
1 14
7.1%
2 14
7.1%
3 14
7.1%
4 15
7.6%
5 17
8.6%
6 17
8.6%
7 12
6.1%
8 17
8.6%
9 9
4.5%
10 7
3.5%
ValueCountFrequency (%)
246 1
0.5%
229 1
0.5%
152 1
0.5%
139 1
0.5%
128 1
0.5%
127 1
0.5%
115 1
0.5%
90 1
0.5%
88 1
0.5%
87 1
0.5%

type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
regular
196 
insignificant_special
 
1
significant_special
 
1

Length

Max length21
Median length7
Mean length7.1313131
Min length7

Characters and Unicode

Total characters1412
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 196
99.0%
insignificant_special 1
 
0.5%
significant_special 1
 
0.5%

Length

2023-08-05T14:11:01.073499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T14:11:01.193854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 196
99.0%
insignificant_special 1
 
0.5%
significant_special 1
 
0.5%

Most occurring characters

ValueCountFrequency (%)
r 392
27.8%
a 200
14.2%
e 198
14.0%
g 198
14.0%
l 198
14.0%
u 196
13.9%
i 9
 
0.6%
n 5
 
0.4%
s 4
 
0.3%
c 4
 
0.3%
Other values (4) 8
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1410
99.9%
Connector Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 392
27.8%
a 200
14.2%
e 198
14.0%
g 198
14.0%
l 198
14.0%
u 196
13.9%
i 9
 
0.6%
n 5
 
0.4%
s 4
 
0.3%
c 4
 
0.3%
Other values (3) 6
 
0.4%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1410
99.9%
Common 2
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 392
27.8%
a 200
14.2%
e 198
14.0%
g 198
14.0%
l 198
14.0%
u 196
13.9%
i 9
 
0.6%
n 5
 
0.4%
s 4
 
0.3%
c 4
 
0.3%
Other values (3) 6
 
0.4%
Common
ValueCountFrequency (%)
_ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1412
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 392
27.8%
a 200
14.2%
e 198
14.0%
g 198
14.0%
l 198
14.0%
u 196
13.9%
i 9
 
0.6%
n 5
 
0.4%
s 4
 
0.3%
c 4
 
0.3%
Other values (4) 8
 
0.6%

airdate
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2022-12-09 00:00:00
Maximum2022-12-09 00:00:00
2023-08-05T14:11:01.294356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:11:01.525455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

airtime
Date

MISSING 

Distinct21
Distinct (%)72.4%
Missing169
Missing (%)85.4%
Memory size1.7 KiB
Minimum2023-08-05 00:00:00
Maximum2023-08-05 22:30:00
2023-08-05T14:11:01.634487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:11:01.774181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2022-12-09 00:00:00+00:00
Maximum2022-12-10 06:00:00+00:00
2023-08-05T14:11:01.922016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:11:02.059736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

runtime
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)30.7%
Missing9
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean32.492063
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-08-05T14:11:02.207485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.4
Q121
median30
Q345
95-th percentile61.6
Maximum120
Range119
Interquartile range (IQR)24

Descriptive statistics

Standard deviation17.806172
Coefficient of variation (CV)0.54801605
Kurtosis3.9578491
Mean32.492063
Median Absolute Deviation (MAD)12
Skewness1.298286
Sum6141
Variance317.05978
MonotonicityNot monotonic
2023-08-05T14:11:02.368546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 23
 
11.6%
30 16
 
8.1%
22 12
 
6.1%
10 8
 
4.0%
26 8
 
4.0%
25 7
 
3.5%
15 7
 
3.5%
21 6
 
3.0%
20 6
 
3.0%
24 6
 
3.0%
Other values (48) 90
45.5%
(Missing) 9
 
4.5%
ValueCountFrequency (%)
1 1
 
0.5%
4 1
 
0.5%
5 2
 
1.0%
6 2
 
1.0%
7 1
 
0.5%
8 1
 
0.5%
9 2
 
1.0%
10 8
4.0%
11 1
 
0.5%
12 2
 
1.0%
ValueCountFrequency (%)
120 1
0.5%
112 1
0.5%
77 1
0.5%
71 2
1.0%
70 1
0.5%
69 1
0.5%
68 2
1.0%
62 1
0.5%
61 1
0.5%
59 1
0.5%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing198
Missing (%)100.0%
Memory size1.7 KiB

medium
Text

MISSING 

Distinct104
Distinct (%)100.0%
Missing94
Missing (%)47.5%
Memory size1.7 KiB
2023-08-05T14:11:02.602906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters7592
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084747.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/457/1143998.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/434/1085002.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/434/1085003.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/434/1085013.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/466/1167001.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1085369.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/457/1143998.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1085002.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1085003.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1085013.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1085187.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1085012.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1086606.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1086605.jpg 1
 
1.0%
Other values (94) 94
90.4%
2023-08-05T14:11:02.978652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 728
 
9.6%
a 624
 
8.2%
t 520
 
6.8%
s 520
 
6.8%
m 520
 
6.8%
p 416
 
5.5%
e 416
 
5.5%
i 312
 
4.1%
c 312
 
4.1%
. 312
 
4.1%
Other values (22) 2912
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5304
69.9%
Other Punctuation 1144
 
15.1%
Decimal Number 1040
 
13.7%
Connector Punctuation 104
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 624
11.8%
t 520
9.8%
s 520
9.8%
m 520
9.8%
p 416
 
7.8%
e 416
 
7.8%
i 312
 
5.9%
c 312
 
5.9%
d 312
 
5.9%
l 208
 
3.9%
Other values (8) 1144
21.6%
Decimal Number
ValueCountFrequency (%)
4 205
19.7%
3 172
16.5%
1 161
15.5%
0 137
13.2%
8 124
11.9%
9 66
 
6.3%
5 60
 
5.8%
6 49
 
4.7%
7 42
 
4.0%
2 24
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 728
63.6%
. 312
27.3%
: 104
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5304
69.9%
Common 2288
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 624
11.8%
t 520
9.8%
s 520
9.8%
m 520
9.8%
p 416
 
7.8%
e 416
 
7.8%
i 312
 
5.9%
c 312
 
5.9%
d 312
 
5.9%
l 208
 
3.9%
Other values (8) 1144
21.6%
Common
ValueCountFrequency (%)
/ 728
31.8%
. 312
13.6%
4 205
 
9.0%
3 172
 
7.5%
1 161
 
7.0%
0 137
 
6.0%
8 124
 
5.4%
_ 104
 
4.5%
: 104
 
4.5%
9 66
 
2.9%
Other values (4) 175
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7592
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 728
 
9.6%
a 624
 
8.2%
t 520
 
6.8%
s 520
 
6.8%
m 520
 
6.8%
p 416
 
5.5%
e 416
 
5.5%
i 312
 
4.1%
c 312
 
4.1%
. 312
 
4.1%
Other values (22) 2912
38.4%

original
Text

MISSING 

Distinct104
Distinct (%)100.0%
Missing94
Missing (%)47.5%
Memory size1.7 KiB
2023-08-05T14:11:03.225996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters7800
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084747.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/457/1143998.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/434/1085002.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/434/1085003.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/434/1085013.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/466/1167001.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/434/1085369.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/457/1143998.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/434/1085002.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/434/1085003.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/434/1085013.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/434/1085187.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/434/1085012.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/434/1086606.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/434/1086605.jpg 1
 
1.0%
Other values (94) 94
90.4%
2023-08-05T14:11:03.602198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 728
 
9.3%
t 624
 
8.0%
a 520
 
6.7%
s 416
 
5.3%
i 416
 
5.3%
o 416
 
5.3%
p 312
 
4.0%
c 312
 
4.0%
. 312
 
4.0%
g 312
 
4.0%
Other values (23) 3432
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5512
70.7%
Other Punctuation 1144
 
14.7%
Decimal Number 1040
 
13.3%
Connector Punctuation 104
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 624
 
11.3%
a 520
 
9.4%
s 416
 
7.5%
i 416
 
7.5%
o 416
 
7.5%
p 312
 
5.7%
c 312
 
5.7%
g 312
 
5.7%
m 312
 
5.7%
e 312
 
5.7%
Other values (9) 1560
28.3%
Decimal Number
ValueCountFrequency (%)
4 205
19.7%
3 172
16.5%
1 161
15.5%
0 137
13.2%
8 124
11.9%
9 66
 
6.3%
5 60
 
5.8%
6 49
 
4.7%
7 42
 
4.0%
2 24
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 728
63.6%
. 312
27.3%
: 104
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5512
70.7%
Common 2288
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 624
 
11.3%
a 520
 
9.4%
s 416
 
7.5%
i 416
 
7.5%
o 416
 
7.5%
p 312
 
5.7%
c 312
 
5.7%
g 312
 
5.7%
m 312
 
5.7%
e 312
 
5.7%
Other values (9) 1560
28.3%
Common
ValueCountFrequency (%)
/ 728
31.8%
. 312
13.6%
4 205
 
9.0%
3 172
 
7.5%
1 161
 
7.0%
0 137
 
6.0%
8 124
 
5.4%
: 104
 
4.5%
_ 104
 
4.5%
9 66
 
2.9%
Other values (4) 175
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 728
 
9.3%
t 624
 
8.0%
a 520
 
6.7%
s 416
 
5.3%
i 416
 
5.3%
o 416
 
5.3%
p 312
 
4.0%
c 312
 
4.0%
. 312
 
4.0%
g 312
 
4.0%
Other values (23) 3432
44.0%

_links_self
Text

UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-08-05T14:11:03.822128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters7722
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique198 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2422256
2nd rowhttps://api.tvmaze.com/episodes/2521739
3rd rowhttps://api.tvmaze.com/episodes/2411105
4th rowhttps://api.tvmaze.com/episodes/2463633
5th rowhttps://api.tvmaze.com/episodes/2330728
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2422256 1
 
0.5%
https://api.tvmaze.com/episodes/2443693 1
 
0.5%
https://api.tvmaze.com/episodes/2438236 1
 
0.5%
https://api.tvmaze.com/episodes/2411105 1
 
0.5%
https://api.tvmaze.com/episodes/2463633 1
 
0.5%
https://api.tvmaze.com/episodes/2330728 1
 
0.5%
https://api.tvmaze.com/episodes/2513099 1
 
0.5%
https://api.tvmaze.com/episodes/2427754 1
 
0.5%
https://api.tvmaze.com/episodes/2432129 1
 
0.5%
https://api.tvmaze.com/episodes/2451979 1
 
0.5%
Other values (188) 188
94.9%
2023-08-05T14:11:04.168750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 792
 
10.3%
p 594
 
7.7%
s 594
 
7.7%
e 594
 
7.7%
t 594
 
7.7%
o 396
 
5.1%
a 396
 
5.1%
i 396
 
5.1%
. 396
 
5.1%
m 396
 
5.1%
Other values (16) 2574
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4950
64.1%
Other Punctuation 1386
 
17.9%
Decimal Number 1386
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 594
12.0%
s 594
12.0%
e 594
12.0%
t 594
12.0%
o 396
8.0%
a 396
8.0%
i 396
8.0%
m 396
8.0%
h 198
 
4.0%
d 198
 
4.0%
Other values (3) 594
12.0%
Decimal Number
ValueCountFrequency (%)
4 322
23.2%
2 272
19.6%
3 155
11.2%
5 150
10.8%
9 111
 
8.0%
8 89
 
6.4%
1 83
 
6.0%
6 78
 
5.6%
0 68
 
4.9%
7 58
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 792
57.1%
. 396
28.6%
: 198
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 4950
64.1%
Common 2772
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 792
28.6%
. 396
14.3%
4 322
11.6%
2 272
 
9.8%
: 198
 
7.1%
3 155
 
5.6%
5 150
 
5.4%
9 111
 
4.0%
8 89
 
3.2%
1 83
 
3.0%
Other values (3) 204
 
7.4%
Latin
ValueCountFrequency (%)
p 594
12.0%
s 594
12.0%
e 594
12.0%
t 594
12.0%
o 396
8.0%
a 396
8.0%
i 396
8.0%
m 396
8.0%
h 198
 
4.0%
d 198
 
4.0%
Other values (3) 594
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7722
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 792
 
10.3%
p 594
 
7.7%
s 594
 
7.7%
e 594
 
7.7%
t 594
 
7.7%
o 396
 
5.1%
a 396
 
5.1%
i 396
 
5.1%
. 396
 
5.1%
m 396
 
5.1%
Other values (16) 2574
33.3%
Distinct103
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-08-05T14:11:04.380595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.979798
Min length33

Characters and Unicode

Total characters6728
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)38.4%

Sample

1st rowhttps://api.tvmaze.com/shows/59071
2nd rowhttps://api.tvmaze.com/shows/67998
3rd rowhttps://api.tvmaze.com/shows/54894
4th rowhttps://api.tvmaze.com/shows/55019
5th rowhttps://api.tvmaze.com/shows/62143
ValueCountFrequency (%)
https://api.tvmaze.com/shows/65758 16
 
8.1%
https://api.tvmaze.com/shows/49722 10
 
5.1%
https://api.tvmaze.com/shows/65657 8
 
4.0%
https://api.tvmaze.com/shows/37928 8
 
4.0%
https://api.tvmaze.com/shows/57463 8
 
4.0%
https://api.tvmaze.com/shows/19665 7
 
3.5%
https://api.tvmaze.com/shows/50617 6
 
3.0%
https://api.tvmaze.com/shows/59307 6
 
3.0%
https://api.tvmaze.com/shows/65851 6
 
3.0%
https://api.tvmaze.com/shows/63317 6
 
3.0%
Other values (93) 117
59.1%
2023-08-05T14:11:04.718006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 792
 
11.8%
s 594
 
8.8%
t 594
 
8.8%
h 396
 
5.9%
p 396
 
5.9%
a 396
 
5.9%
o 396
 
5.9%
. 396
 
5.9%
m 396
 
5.9%
e 198
 
2.9%
Other values (16) 2174
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4356
64.7%
Other Punctuation 1386
 
20.6%
Decimal Number 986
 
14.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 594
13.6%
t 594
13.6%
h 396
9.1%
p 396
9.1%
a 396
9.1%
o 396
9.1%
m 396
9.1%
e 198
 
4.5%
w 198
 
4.5%
c 198
 
4.5%
Other values (3) 594
13.6%
Decimal Number
ValueCountFrequency (%)
6 169
17.1%
5 168
17.0%
7 102
10.3%
8 89
9.0%
4 89
9.0%
9 84
8.5%
3 82
8.3%
2 77
7.8%
1 74
7.5%
0 52
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/ 792
57.1%
. 396
28.6%
: 198
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 4356
64.7%
Common 2372
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 792
33.4%
. 396
16.7%
: 198
 
8.3%
6 169
 
7.1%
5 168
 
7.1%
7 102
 
4.3%
8 89
 
3.8%
4 89
 
3.8%
9 84
 
3.5%
3 82
 
3.5%
Other values (3) 203
 
8.6%
Latin
ValueCountFrequency (%)
s 594
13.6%
t 594
13.6%
h 396
9.1%
p 396
9.1%
a 396
9.1%
o 396
9.1%
m 396
9.1%
e 198
 
4.5%
w 198
 
4.5%
c 198
 
4.5%
Other values (3) 594
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 792
 
11.8%
s 594
 
8.8%
t 594
 
8.8%
h 396
 
5.9%
p 396
 
5.9%
a 396
 
5.9%
o 396
 
5.9%
. 396
 
5.9%
m 396
 
5.9%
e 198
 
2.9%
Other values (16) 2174
32.3%

summary
Text

MISSING 

Distinct113
Distinct (%)100.0%
Missing85
Missing (%)42.9%
Memory size1.7 KiB
2023-08-05T14:11:05.050569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length706
Median length210
Mean length175.38053
Min length36

Characters and Unicode

Total characters19818
Distinct characters78
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)100.0%

Sample

1st row<p>An old and deserted dry dock is transformed into an amazing subterranean museum, after the engineers drain the entire ground and build a new concrete base.</p>
2nd row<p>Both Seon Heo and Mu Yeong have become distressed following their accidental kiss that one night. How will the two of them resolve their embarrassment?</p>
3rd row<p>Irfan fires at Koko, Asim and Keleshi, starting a war. Nasra wants to stop Bæbs, who are out of money and pushed to the limit. Now everything must be decided.</p>
4th row<p>Christmas calendar about Christmas calendars! Famous Christmas calendar faces appear to test the participants' knowledge of Christmas calendars on TV.</p>
5th row<p>It's a dream come true for lifelong superfan Sandra when she meets her idols for the first time—and even performs with them.</p>
ValueCountFrequency (%)
the 165
 
5.0%
to 142
 
4.3%
a 129
 
3.9%
and 102
 
3.1%
of 60
 
1.8%
her 47
 
1.4%
for 44
 
1.3%
with 40
 
1.2%
in 35
 
1.1%
their 33
 
1.0%
Other values (1541) 2504
75.9%
2023-08-05T14:11:05.577701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3187
16.1%
e 1861
 
9.4%
t 1325
 
6.7%
a 1266
 
6.4%
i 1065
 
5.4%
o 1059
 
5.3%
s 1018
 
5.1%
n 1005
 
5.1%
r 975
 
4.9%
h 794
 
4.0%
Other values (68) 6263
31.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14898
75.2%
Space Separator 3190
 
16.1%
Uppercase Letter 641
 
3.2%
Other Punctuation 552
 
2.8%
Math Symbol 460
 
2.3%
Dash Punctuation 49
 
0.2%
Decimal Number 21
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1861
12.5%
t 1325
 
8.9%
a 1266
 
8.5%
i 1065
 
7.1%
o 1059
 
7.1%
s 1018
 
6.8%
n 1005
 
6.7%
r 975
 
6.5%
h 794
 
5.3%
l 588
 
3.9%
Other values (18) 3942
26.5%
Uppercase Letter
ValueCountFrequency (%)
A 67
 
10.5%
S 64
 
10.0%
T 58
 
9.0%
M 49
 
7.6%
C 48
 
7.5%
B 42
 
6.6%
L 36
 
5.6%
H 29
 
4.5%
W 26
 
4.1%
R 24
 
3.7%
Other values (16) 198
30.9%
Other Punctuation
ValueCountFrequency (%)
. 193
35.0%
, 133
24.1%
/ 126
22.8%
' 62
 
11.2%
? 13
 
2.4%
! 12
 
2.2%
" 10
 
1.8%
: 2
 
0.4%
; 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 8
38.1%
1 7
33.3%
8 2
 
9.5%
2 2
 
9.5%
5 1
 
4.8%
9 1
 
4.8%
Space Separator
ValueCountFrequency (%)
3187
99.9%
  3
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 230
50.0%
> 230
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
77.6%
11
 
22.4%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15539
78.4%
Common 4279
 
21.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1861
12.0%
t 1325
 
8.5%
a 1266
 
8.1%
i 1065
 
6.9%
o 1059
 
6.8%
s 1018
 
6.6%
n 1005
 
6.5%
r 975
 
6.3%
h 794
 
5.1%
l 588
 
3.8%
Other values (44) 4583
29.5%
Common
ValueCountFrequency (%)
3187
74.5%
< 230
 
5.4%
> 230
 
5.4%
. 193
 
4.5%
, 133
 
3.1%
/ 126
 
2.9%
' 62
 
1.4%
- 38
 
0.9%
? 13
 
0.3%
! 12
 
0.3%
Other values (14) 55
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19802
99.9%
Punctuation 11
 
0.1%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3187
16.1%
e 1861
 
9.4%
t 1325
 
6.7%
a 1266
 
6.4%
i 1065
 
5.4%
o 1059
 
5.3%
s 1018
 
5.1%
n 1005
 
5.1%
r 975
 
4.9%
h 794
 
4.0%
Other values (64) 6247
31.5%
Punctuation
ValueCountFrequency (%)
11
100.0%
None
ValueCountFrequency (%)
  3
60.0%
æ 1
 
20.0%
ë 1
 
20.0%

Interactions

2023-08-05T14:10:57.108070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:55.016122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:55.492834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:56.008575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:56.510352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:57.197800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:55.104803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:55.588354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:56.104011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:56.604861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:57.299294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:55.200105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:55.685994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:56.206916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:56.698802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:57.402196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:55.307637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:55.803295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:56.311516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:56.799402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:57.488863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:55.399248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:55.904640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:56.409559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:10:57.017381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-05T14:11:05.694380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
idid_embeddedseasonnumberruntimetype
id1.0000.393-0.0250.051-0.0430.205
id_embedded0.3931.000-0.691-0.0500.1880.000
season-0.025-0.6911.0000.029-0.3460.000
number0.051-0.0500.0291.000-0.2671.000
runtime-0.0430.188-0.346-0.2671.0000.153
type0.2050.0000.0001.0000.1531.000

Missing values

2023-08-05T14:10:57.638668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-05T14:10:57.889047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-05T14:10:58.051299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
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6242775465020https://www.tvmaze.com/episodes/2427754/romance-and-bullets-1x07-episode-7Episode 717.0regular2022-12-092022-12-09T03:00:00+00:0024.0NoneNoneNonehttps://api.tvmaze.com/episodes/2427754https://api.tvmaze.com/shows/65020None
7243212965213https://www.tvmaze.com/episodes/2432129/oh-my-assistant-1x04-episode-4Episode 414.0regular2022-12-092022-12-09T03:00:00+00:0014.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084747.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1084747.jpghttps://api.tvmaze.com/episodes/2432129https://api.tvmaze.com/shows/65213<p>Both Seon Heo and Mu Yeong have become distressed following their accidental kiss that one night. How will the two of them resolve their embarrassment?</p>
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idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
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192243491163554https://www.tvmaze.com/episodes/2434911/firebuds-1x27-call-of-the-sirenCall of the Siren127.0regular2022-12-092022-12-09T17:00:00+00:0012.0NoneNoneNonehttps://api.tvmaze.com/episodes/2434911https://api.tvmaze.com/shows/63554<p>When Axl uses her siren to part traffic for non-emergencies, she struggles to get the other cars on the road to trust her judgment.</p>
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195244192265408https://www.tvmaze.com/episodes/2441922/kids-in-crime-1x07-en-finger-i-raevaEn finger i ræva17.0regular2022-12-0903:002022-12-10T02:00:00+00:0021.0NoneNoneNonehttps://api.tvmaze.com/episodes/2441922https://api.tvmaze.com/shows/65408None
196244192365408https://www.tvmaze.com/episodes/2441923/kids-in-crime-1x08-party-timeParty Time18.0regular2022-12-0903:002022-12-10T02:00:00+00:0021.0NoneNoneNonehttps://api.tvmaze.com/episodes/2441923https://api.tvmaze.com/shows/65408None
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